[Activities, Data] Turning Data Into Community Activities: A Simple Example

Let’s work through an example here. Imagine you run a community for street dancers (random example). Now you can plan discussions, activities, and content around these. One volunteer might be responses for writing regular tips about recording videos, interviewing members on the topic, hosting activities/online workshops about it, and otherwise ensuring your community is the best source of interactions on the topic. Branded Online Communities Content Events/Activities Managing Online CommunitiesYesterday we addressed audience analysis.

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DANNY BROWN

AUGUST 15, 2013

[Activities, Data] Without Context, Data is Meaningless

There’s a big push at the minute by marketers and technology vendors around the concept and importance of Big Data. So, Big Data is clearly big business, and – with more than 1.7 That’s understandable – after all, the potential of Big Data is huge. So, yes, Big Data = Big News. Visual Data is Great, Real Data is Better. Challenge on.

All of these treat social media as data, but social media generate at least three types of data : content, activity, and people. In the last post, I wrote about content data , which is the starting point for listening. This time, let's talk about activity. What is activitydata? There's little ambiguity in clicking on a Like button, for example.

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DANNY BROWN

MAY 8, 2014

[Activities, Data] The Question of Context in Meaningless Data

One of the things marketers and brands alike are excited about at the moment is the potential of Big Data. Whether the excitement being generated is fully warranted is another thing, though, especially given the fact that Big Data more than lives up to its name when it comes to the reality of using it effectively. And that’s just with today’s data. Is it?

The new marketing meme, “Big Data” has captured everyone’s attention. The rise of social, online behaviour, user content generation, not to mention increased mobile activity, has contributed to the mountain of datasets that have grown so large “they become awkward to work with using on-hand database management tools”, per Wikipedia. How do these data sets become so large?

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T2 SOCIAL

JUNE 29, 2014

[Activities, Data] Where to Find Your Social Data

Social data is everywhere, and these are a few of the places where you can find it. We constantly hear people talking about big and social data, and the concept of using these social data in order to build strategies, identify opportunities and construct campaigns is quite exciting. This data can then be manipulated in a number of ways to serve your own purposes.

[Activities, Data] Two Social Media Toolkit Examples and Other Goodies

Increasingly, these tools are also being used for predictive and sentiment analysis—using the vast amount of real-time data from these social platforms to predict emerging trends and respond to them quickly (referred to as “social data”). Analysis of this social data is critical not just for agency communication offices—but also for program managers at every level of your organization. The purpose is to establish a common, yet customizable approach to analyzing social data using the most cost-effective methods available. Content Strategy Useful Data” 2.
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In the interest of offering raw, top-of-mind views into big data I thought it sensible to knock on a few doors and ask some feedback from my Twitter follows—some of whom in fact are seasoned marketers. No surprise that data analytics, predictive modeling and the like are the obvious areas where marketing can benefit from tapping into “what the data is saying” and crafting innovatively aggressive marketing strategies, which are non-intrusive, of course (in a no-telemarketers-here kind of way). Enterprise is naturally one of the most active users of big data.
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Attending the European Conference of Information Systems in Tel Aviv last week, I was happy to find that areas such as data visualization, predictive analytics, social CRM and ROI etc found their way into the conference. Industries such as marketing now rely heavily on a new field of social data science to make sense of the large quantities of information about their brand community. Predictive Modeling of Social Activity. This primarily demonstrated the extent to which Twitter activity reflects social activity. These patterns are intriguing.
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One of the things marketers and brands alike are excited about at the moment is the potential of Big Data. Whether the excitement being generated is fully warranted is another thing, though, especially given the fact that Big Data more than lives up to its name when it comes to the reality of using it effectively. At a conference earlier this year, one of the speakers – from a data analysis company – spoke of the craziness of trying to make sense of the amount of data we have access to. And that’s just with todays data. Instant relevance.
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There is much talk about the looming gap between the opportunities being created by big data and finding workers with the right skills and expertise to fill these positions. million IT jobs globally will be created to support big data opportunities within brands. With these opportunities come challenges, not least how you use the data in a responsible way without alienating the customers you are hoping to offer better services and products to. This has led some to suggest brands need a Big Data Ethicist, charged with ensuring data is used in a responsible and ethical way.
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